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A combination method using evolutionary algorithms in initial orbit determination for too short arc
Li, Xin-Ran1,2,3; Wang, Xin1,3; Xiong, Yong-qing1,3
2019-01-15
Source PublicationADVANCES IN SPACE RESEARCH
ISSN0273-1177
Volume63Issue:2Pages:999-1006
Corresponding AuthorLi, Xin-Ran(lixr@pmo.ac.cn)
AbstractWith the combination of two evolutionary algorithms EDA and DE, a new method of initial orbit determination for satellites based on ground-based too-short-arc is established. Compared with other algorithms, the proposed method focuses on the most densely populated region in the solution space rather than the individual with best fitness value. Both the global information and local information are well fused in the search of optimum. In the method (a, e, M) are treated as variables of the optimization, and the optimization procedure is carried out as a two-stage hierarchical optimization problem which has three variables for each stage. Kernel density estimation is applied to build the probability distribution model without any assumptions of the specified distribution, accompanied by handling semi-major axis and eccentricity as a pair of dependent variables in the construction of the probability for the correlation between them in the practice. Numerical experiments with real ground-based observations show that the proposed method is applicable to too-short-arc with even 3 s, and the result of bias in several kilometers can be achieved with 5 '' error added to angular measurements. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
KeywordToo short arc Initial orbit determination Estimation of distribution algorithm Differential evolution Evolutionary algorithm
DOI10.1016/j.asr.2018.08.036
WOS KeywordGENETIC ALGORITHM ; OPTIMIZATION
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
WOS SubjectAstronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS IDWOS:000457656800014
PublisherELSEVIER SCI LTD
Citation statistics
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/18764
Collection中国科学院紫金山天文台
Corresponding AuthorLi, Xin-Ran
Affiliation1.Chinese Acad Sci, Purple Mt Observ, Nanjing 210008, Jiangsu, Peoples R China
2.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
3.Chinese Acad Sci, Key Lab Space Object & Debris Observat, Purple Mt Observ, Nanjing 210008, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Li, Xin-Ran,Wang, Xin,Xiong, Yong-qing. A combination method using evolutionary algorithms in initial orbit determination for too short arc[J]. ADVANCES IN SPACE RESEARCH,2019,63(2):999-1006.
APA Li, Xin-Ran,Wang, Xin,&Xiong, Yong-qing.(2019).A combination method using evolutionary algorithms in initial orbit determination for too short arc.ADVANCES IN SPACE RESEARCH,63(2),999-1006.
MLA Li, Xin-Ran,et al."A combination method using evolutionary algorithms in initial orbit determination for too short arc".ADVANCES IN SPACE RESEARCH 63.2(2019):999-1006.
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